What is Keras and Tensorflow | Keras vs Tensorflow
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- čas přidán 27. 07. 2024
- In this video, we will understand what is Keras and Tensorflow.
Tensorflow is a free and open-source library for machine learning and artificial intelligence. It was developed by Google. And it can be used for developing large-scale machine learning applications, and it is also highly used by researchers to push the state of the art in machine learning.
Keras is also an open-source library for machine learning and neural network but it higher-level API compared to Tensorflow and can run on top of Tensorflow.
Training of model and execution is fast in Tensorflow, while it is slow in Keras. Thus Keras is used mainly for rapid prototyping and applications dealing with small datasets. Whereas, Tensorflow is used for creating large-scale applications.
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Timestamps:
0:00 Keras and Tensorflow Overview
1:45 Difference between Keras and Tensorflow
3:02 End
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Follow my entire playlist on Convolutional Neural Network (CNN) :
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At the end of some videos, you will also find quizzes 📑 that can help you to understand the concept and retain your learning.
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✔ Complete Neural Network Playlist: • How Neural Networks wo...
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Nice work.. and thanks for the CNN videos
Glad to know that these are useful to others
@my_yt_channel so glad I could help 😇
bhai, I am facing a problem in taking notes in coding class, when they explain and run th cdeo I do the same and run the code to test it on my own but after that I can't take notes as you know that both is not possible at a time, now at the time of taking notes, I can't focus on the context as I am busy making good notes but of no use--what should I do now?
how to even manage?
Hi... if you are studying from a video class. May be you can pause for a while and then take notes.
Or else you can ask your teacher to provide you the notes.
Hi. Can you explain about Google Colab?
Its a python notebook that you can use online… developed by google. Also it already has some basic libraries installed. If you want to install any other libraries, then you can also do so. And to use any data, you need to upload the data on cloud first, preferably your Google drive.
Hope this info helps!
@@CodingLane I want to use datasets from Kaggle but only 5 classes. I already uploaded the datasets at google drive. And when I want to run the code on Google Colab. It gets error at the directory. Can you please help me?
@@danishahhana you have to mount your drive on colab… and there is button on left panel which specifies your current working directorry… please search on net how you can use files from drive on colab, you will find some articles. A
I am waiting cnn from scratch with numpy